To the limitation of the research of controlling uncertainty in forecasting, effectively partitioning intervals
and consistently achieving forecasting accuracy with different interval lengths, the intuitionistic fuzzy time series(IFTS)
forecasting model is advanced. The novel forecasting model applies the intuitionistic fuzzy ??-means(IFCM) clustering
algorithm to optimize interval partitioning, which considers the data point fuzzy uncertainty fully, reflects the character
distribution of uncertain system, enhances forecasting functionality in the complex environment better and allows the
processing of multiple factors forecasting problems. Finally, a classical instance shows the effectiveness and superiority
of the proposed method.